The data is used in AISHELL Speaker Verification Challenge 2019. It is extracted from a larger database called AISHELL-WakeUp-1.
<p>

The contents are wake-up words "Hi, Mia" in both Chinese and English.
The data is collected in real home environment using microphone arrays and Hi-Fi microphone.
The collection process and development of a baseline system was described in the paper below.
The data used in the challenge is extracted from 1 Hi-Fi microphone and 16-channel circular microphone arrays for 1/3/5 meters.
And the contents are the Chinese wake-up words. The whole set is divided into train (254 people), dev (42 people) and test (44 people) subsets.
Test subset is provided with paired target/non-target answer to evaluate verification results.
<p>

You can cite the data using the following BibTeX entry:
<pre>

@misc{himia,
    title={HI-MIA : A Far-field Text-Dependent Speaker Verification Database and the Baselines},
    author={Xiaoyi Qin and Hui Bu and Ming Li},
    year={2019},
    eprint={1912.01231},
    archivePrefix={arXiv},
    primaryClass={cs.SD}
}
<pre>
